Face Detection using python

Day 21 - Face Recognition using python/detect_face_image.py

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+# !/usr/bin/python3
+import cv2
+
+# Load the cascade
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+# Read the input image
+img = cv2.imread('SamplePic.jpg')
+
+# Convert into grayscale
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+# Detect faces
+faces = face_cascade.detectMultiScale(gray, 1.1, 4)
+
+# Draw rectangle around the faces
+for (x, y, w, h) in faces:
+    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
+
+# Display the output
+cv2.imshow('img', img)
+cv2.waitKey()

Day 21 - Face Recognition using python/detect_face_video.py

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+# !/usr/bin/python3
+import cv2
+
+# Load the cascade
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+# To capture video from webcam. 
+cap = cv2.VideoCapture(0)
+# To use a video file as input 
+# cap = cv2.VideoCapture('filename.mp4')
+
+while True:
+    # Read the frame
+    _, img = cap.read()
+
+    # Convert to grayscale
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    # Detect the faces
+    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
+
+    # Draw the rectangle around each face
+    for (x, y, w, h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+    # Display
+    cv2.imshow('img', img)
+
+    # Stop if escape key is pressed
+    k = cv2.waitKey(30) & 0xff
+    if k==27:
+        break
+
+# Release the VideoCapture object
+cap.release()